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Bollinger Bands and their use in Stock Market Analysis (using Quandl & tidyverse in R)
Article describes Bollinger bands and their applications to stock market analysis using Quandl, Tidyverse packages in R and is applied in intra day trading
Guest Blog 07 Jun, 2020
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Comparative Stock Market Analysis in R using Quandl & tidyverse – Part I
Comparative Stock market analysis for banking stocks in India using various machine learning packages in R including Quandl, tidyverse to find hidden trends
Guest Blog 26 Aug, 2021
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How to Use Support Vector Machines (SVM) in Python and R
Take your machine learning skills to the next level with Support Vector Machines (SVM) for tasks like regression and classification.
Sunil Ray 16 Jun, 2025
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Python vs. R vs. SAS – which tool should I learn for Data Science?
Comparison of Python vs R vs SAS data analysis tools along various parameters with recommendations for data analysts and data scientists
Kunal Jain 07 Jun, 2020
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Naive Bayes Classifier Explained With Practical Problems
Learn how to use the Naive Bayes Classifier for fast and accurate classification in your machine learning projects. Start Reading Now!
Sunil Ray 01 May, 2025
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Creating & Visualizing Neural Network in R
Neural network is an information-processing machine. This article contains basics of neural networks and implementation of neural networks in R.
Guest Blog 16 Apr, 2024
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CatBoost: A machine learning library to handle categorical (CAT) data automatically
CatBoost is an open source machine learning algorithm from yandex. In this article learn about CatBoost categorical features to handle categorical data.
Sunil Ray 17 Oct, 2024
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Mining frequent items bought together using Apriori Algorithm (with code in R)
Learn how to use the Apriori algorithm and R code for market basket analysis and uncover hidden patterns in customer buying habits on our website Now!
Analytics Vidhya 07 Nov, 2023
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Hands on with Deep Learning – Solution for Age Detection Practice Problem
This article provides a simple deep learning based solution to Age detection problem. This includes use of neural networks & keras to predict age of person
Faizan Shaikh 26 Jul, 2020
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Lasso and Ridge Regression in Python & R Tutorial
Learn the differences between ridge and lasso regression, linear regression basics, gradient descent, R-squared, regularization techniques,.
shubham.jain 20 Dec, 2024
